AI built for your stage.
Knowledge graph, GraphRAG & MCP consulting for the agentic enterprise.
587+ engineering projects delivered, data platforms, AI systems, full-stack: for Fortune 500 data leaders, venture backed founders, multi location brands, and owner led small teams. Pick your lane: the plan, the proof, and the guarantee are already built for it.
Award-winning AI projects delivered for enterprise clients.
partners
Trusted by teams at
Selected client engagements. Some client names, deliverables and outcomes are under NDA and cannot be published; published case studies are here.
Our values. All lanes. Grounded AI.
Confident isn't the same as correct. We deliver AI systems that survive production because our entire platform is built on these five principles.
Grounded in Your Data
AI that hallucinates doesn't ship to production. Every answer is traced back to your enterprise knowledge graph. No guardrails, no prompts-that-sometimes-work: just citations you can defend.
Audit Everything
Regulators don't care how confident the model is. They want the log. Every decision, every token, every sourceimmutable and traceable. We build the audit trail first, then the system around it.
Ship & Verify
Pilots don't prove anything. Production does. We deploy to your environment first, measure the unsupported-answer rate on your data, and only then widen the scope. We agree the accuracy target in writing before the pilot starts, or the pilot is free.
All Lanes, One Standard
Enterprise leaders, founders, brands, and small teams all get the same architectural rigor. The size of your team doesn't change the quality of the system. Scale changes the scope, not the standard.
Security is Table Stakes
Compliance isn't bolted on after launch. SOC 2 Type II, HIPAA, GDPR, and PCI DSS are architected in from day one. Your data never leaves your VPC. Access control lives in code, not spreadsheets.
Built on enterprise infrastructure
How 587+ engineering projects got delivered: and why yours is stuck.
The system, the proof, and the guarantee: in less time than it takes to read one vendor deck. No email gate. No 45 minute webinar.
Agentic Giants · in 90 seconds
Ship AI your whole team can trust.
The 3 reasons AI projects stall: and the system that fixes all three.
✓ 90 seconds, then pick your lane · ✓ The guarantee is explained in the video · ✓ No email required
Agentic Giants is an AI consulting firm in Texas, headquartered in Aubrey. We design and build enterprise knowledge graphs, GraphRAG systems, MCP servers, and agentic automation on Neo4j. Our senior team brings 12+ years of engineering experience and has delivered 587+ projects for clients in fintech, healthcare, retail, and SaaS.
- 587+ engineering projects
- 95% extend engagement
- SOC 2 Type II delivery
- 6 weeks to first release
Want to send this to your CFO or board?
Open the standalone ROI calculatorWhich of these sounds like your Monday morning?
“Our AI pilot died in legal review: again.”
Enterprise leaders
CTOs & CDOs at Fortune 500 and regulated enterprises.
90% fewer hallucinations · audit readySecurity is table stakes: compliance is architected in, not bolted on.
Knowledge graph AI deployed in your VPC with SOC 2 / HIPAA / GDPR ready architecture and a citation trail on every answer.
“The AI feature has slipped three sprints in a row.”
Startups & scale ups
Founders & product teams racing an investor clock.
First release in 6 weeks · 0 hiresInvestor grade AI features: without burning runway on data infrastructure.
We embed a senior squad (architect, PM, full stack engineers) directly into your team. No recruitment, no payroll overhead.
“Every system tells me a different customer number.”
Brands & multi location
CMOs, franchises & D2C leaders with scattered customer data.
One customer graph · +30% AOVYour competitors are already unifying their customer data. Don’t fall behind.
A unified customer graph connects Shopify, Zendesk, GA4 & your POS: then AI personalizes every touchpoint in real time.
“By morning, the 9 pm lead had booked my competitor.”
Small teams
Owners & agencies who need pipeline, not projects.
100% done for you · 3× leads in 90 daysThe affordable alternative to hiring a full time marketing ops person.
We set up your GHL + n8n pipeline end to end: you never touch a setting. Qualified leads land in your inbox on autopilot.
Whichever lane you pick, the path is the same
No proposals by the pound, no discovery retainers. Three steps, and the first two ask nothing of you but 30 minutes.
- 1
Confidential 30 minute conversation
A senior specialist reviews your situation: not a sales rep with a script.
- 2
Written findings report
Three documented savings of $50K+, mapped to your systems. Yours to keep either way.
- 3
Scoped, guaranteed build
Fixed scope, staged commitment, and outcomes agreed in writing before we start.
The call is booked from your lane’s page: where it arrives scoped to your world, not a generic checklist.
The honest comparison
You have three other ways to get this done. Here’s what each actually costs you.
A recognized logo and a partner who sells the engagement, delivered by a rotating junior bench. Twelve months and seven figures later, you own a strategy deck, not a system in production.
The right answer eventually. But standing up a senior AI team is 6–9 months of hiring and seven figures in loaded cost before a single release reaches production.
A lower rate card, but delivery rests on individuals with no senior oversight, no continuity plan, and no accountability for the outcome: exposure your risk committee won’t accept.
An embedded senior squad ships your first production release in weeks: outcomes guaranteed in writing, knowledge transferred as we go, and 100% of the IP owned by you.
How to evaluate an AI development partner
The security and compliance controls your AI data requires, paired with the delivery discipline that keeps the work moving, visible, and covered when plans change. Hold us to it: and everyone else you talk to.
Security
Controls designed for enterprise buyers: without turning every project decision into a compliance exercise.
- ✓
SOC 2 Type II delivery
Audited grade processes and controls across engineering and operations.
- ✓
GDPR & CCPA ready
Deletion, portability, and consent obligations handled by design.
- ✓
HIPAA ready systems
Engineered to HIPAA's technical safeguards: encryption, access controls, audit logging.
- ✓
Encrypted end to end
AES-256 protection in transit and at rest, across every environment.
AI safety
Guardrails, evaluation, and audits that keep the AI dependable in production and catch problems early.
- ✓
Evals & fallbacks
Evaluation sets and fallbacks on every model call: quality measured and reported.
- ✓
Grounding & guardrails
Answers grounded in your sources, with safety settings and moderation.
- ✓
Injection defense
Prompt injection defenses and data boundaries on user facing surfaces.
- ✓
Continuous AI code audit
Automated scans flag security, cost, and architecture risks before production.
Delivery
Senior engineers who own delivery and keep it moving even as priorities change.
- ✓
Senior oversight
VP Engineering, architect, PM, and CSM coverage. A team: not a lone developer.
- ✓
Proactive management
Daily standups and weekly reviews across priorities, tickets, and sprint health.
- ✓
Built in redundancy
A backup engineer already knows the system and can step in immediately.
- ✓
Ownership without lock in
Your code, your repositories, documentation that stays usable after handoff.
Documented upfront
Security, compliance, access, and data handling addressed before work begins.
Evaluated before it ships
Behavior tested against eval sets, then monitored continuously in production.
Daily, weekly visibility
A consistent cadence for status, decisions, delivery risk, and engineering progress.
Featured client results
View all case studies →RYVYL
90% fewer hallucinations, in production
Grounded GraphRAG with per answer citations: approved by compliance and running live.
RETAILGlobal fashion retailer
+30% average order value
One customer graph across Shopify, Zendesk & GA4 powering real time personalization.
SAASD2C wellness startup
AI MVP in 6 weeks: seed round closed
Embedded senior squad shipped the recommendation engine investors asked for.
Enterprise · Audit ready
Zero audit findings. Every answer cited.
Not a vendor's install base: ours. Every number below is a claim we make about our own delivery, checkable against the pilot we run for you.
15+
Enterprise clients
95%
Extend engagement
0
Audit findings, 3 quarterly reviews
100%
Response citations in production
Deployed in your VPC
On your cloud, your controls: zero data egress by default.
Citation on every answer
Every response traces back to a source your compliance team can click.
Hallucination reduction guaranteed
The target is agreed in writing before week one. Miss it and the pilot is free.
Neo4j expertise · Four certified team members
Graph infrastructure built on Neo4j. 12+ years production engineering, team certification verified.
Graph infrastructure is built on Neo4j; we are a Neo4j Solution Partner, not Neo4j Inc. The delivery numbers above are ours.
All lanes · Grounded AI
Confident isn't the same as correct.
An LLM alone is confident even when it's wrong. Every answer our agents give traces back through the graph to a real source first.
- Up to 90% fewer hallucinations, typically landing at single-digit rates in production, target agreed in writing
- A citation on every answer, not just the confident ones
- Miss the agreed reduction target and the pilot is free
Your data sources
Documents, databases, systems of record
Knowledge graph
Entities, relationships, and a citation on every fact
AI agent / RAG
Answers with a traceable source, not a guess
Not sure which lane is yours?
Pick the closest fit: the conversation on that page arrives scoped to your world, and we’ll tell you honestly if a different lane suits you better, or if we’re not the right fit at all.
✓ Every lane starts with a no obligation conversation · ✓ You keep the findings either way
White paper
The C-Suite Guide to the Agentic Enterprise in 2026
Where AI creates real workflow impact, and how to move from a proof of concept that impresses to a system that passes audit. Written for the committee that has to fund it: the capital case, the accuracy evidence, and who carries the risk.
- A three-year TCO comparison: in-house team versus consultancy
- The vendor vetting matrix, with the five rows that matter
- What an EU AI Act review actually asks you for
White paper
The C-Suite Guide to the Agentic Enterprise
in 2026
Capital, accuracy and risk: what an investment committee asks before it funds an AI programme.
Power your next AI transformation.
A 30-minute architecture briefing with a senior architect, not a sales call. You leave with the target architecture and a written scope whether or not you engage us.
- 587+
- projects delivered
- 90%
- fewer unsupported answers
- 6 wks
- to first release
Every figure is counted and published on /proof.
“Our compliance team went from blocking every AI feature to approving them: because now every answer has a source.”